A novel fingerprint singular point detection algorithm

Authors:
Jin Bo;Ying Yu Long;Chen Dan Er
Affiliations:
The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, China;The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, China;The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, China
Venue:
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Year:
2009

Citing 7
Cited 1

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A novel technique for singular point detection based on Poincaré index

Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia

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Abstract

In this paper, a novel approach for detection of singular points, the core and delta points, in fingerprint images is proposed. There have been many approaches introduced in the design of feature extraction. Based on orientation field, Firstly, we divide it into blocks to compute the Poincaré Index. Then, the blocks which may have singularities are detected in the block images. Experiment show the present algorithm is robust than the traditional method on poor quality images.